Backup as a service explained: Your guide to cloud data protection

BaaS supports private, public and hybrid cloud environments. Hybrid cloud, which pairs on-premises infrastructure with cloud-based storage and management, can help enterprises achieve what’s known as the “3-2-1 rule of backup,” a strategy whereby an enterprise keeps three copies of their data —  two in local storage, one offsite. However, hybrid cloud requires more capital and infrastructure investment. 

Types of backup methods 

Backup isn’t a one-size-fits-all model. Because BaaS is pay-as-you-go and customizable, enterprises have options when it comes to backup frequency and type. The most common include: 

Full backup: As its name would suggest, this creates an entire copy of all files, databases, apps, logs, configurations and other components before automatic backup processes begin, so that an entire system can be restored if needed. This is the most time-consuming method, but it also creates a critical enterprise baseline to ensure complete recovery in the case of data loss.

Differential backup: Backs up the data that has changed since the last full backup. This means only changes to original data are copied, not new data generated on a daily or weekly basis. Differential backup can reduce cost and storage and transfer requirements compared to performing full backups every time.

Incremental backup: Backs up only the data that has changed since the last backup of any kind (differential or full). This is the most efficient when it comes to replication, transfer, processing, storage and cost, but it could make for a more extensive restoration process in the event of a data loss event. 

How to prepare for BaaS implementation

Enterprises shouldn’t just jump right into BaaS — proper preparation is critical. Firstly, it is important to define a backup policy that identifies the organization’s critical data that must be backed up. This policy should also include backup frequency, storage location and how long copies should be retained. Recovery point objective (RPO) metrics are critical, as well; these identify how much data loss an enterprise deems acceptable.